Andreas Wieser

Computer Vision and Pattern Recognition · 2007–2020

A researcher in the Science corpus: 4 papers; trusts 157 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Andreas Wieser trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Zi Jian Yew
  6. Radu Bogdan Rusu
  7. Kaiming He
  8. Yann LeCun
  9. Yue Wang
  10. Sergey Ioffe

Who trusts Andreas Wieser overall

  1. X. Fang
  2. Alireza Amiri-Simkooei
  3. Peiliang Xu
  4. Guobin Chang
  5. V. Mahboub
  6. S. Jazaeri
  7. Jing-nan Liu
  8. Yunzhong Shen
  9. Xiaoshui Huang
  10. Xuyang Bai

Papers from Andreas Wieser's perspective

Ordered by how strongly the researchers Andreas Wieser trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers